27 resultados para Practical field ecology : a project guide

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The study is intended to portray the experiment of mechanical engineering course academicians’ that work on health and labor security field, at the project “Primary Training of Operation and Operational Security of Agricultural Machines”, by practical and theoretical content for workers of a rural community, aiming operational security orientation on their work activities.

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This paper presents a non-model based technique to detect, locate, and characterize structural damage by combining the impedance-based structural health monitoring technique with an artificial neural network. The impedance-based structural health monitoring technique, which utilizes the electromechanical coupling property of piezoelectric materials, has shown engineering feasibility in a variety of practical field applications. Relying on high frequency structural excitations (typically>30 kHz), this technique is very sensitive to minor structural changes in the near field of the piezoelectric sensors. In order to quantitatively assess the state of structures, two sets of artificial neural networks, which utilize measured electrical impedance signals for input patterns, were developed. By employing high frequency ranges and by incorporating neural network features, this technique is able to detect the damage in its early stage and to estimate the nature of damage without prior knowledge of the model of structures. The paper concludes with an experimental example, an investigation on a massive quarter scale model of a steel bridge section, in order to verify the performance of this proposed methodology.

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This paper presents two different approaches to detect, locate, and characterize structural damage. Both techniques utilize electrical impedance in a first stage to locate the damaged area. In the second stage, to quantify the damage severity, one can use neural network, or optimization technique. The electrical impedance-based, which utilizes the electromechanical coupling property of piezoelectric materials, has shown engineering feasibility in a variety of practical field applications. Relying on high frequency structural excitations, this technique is very sensitive to minor structural changes in the near field of the piezoelectric sensors, and therefore, it is able to detect the damage in its early stage. Optimization approaches must be used for the case where a good condensed model is known, while neural network can be also used to estimate the nature of damage without prior knowledge of the model of the structure. The paper concludes with an experimental example in a welded cubic aluminum structure, in order to verify the performance of these two proposed methodologies.

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This paper presents a non-model based technique to detect, locate, and characterize structural damage by combining the impedance-based structural health monitoring technique with an artificial neural network. The impedance-based structural health monitoring technique, which utilizes the electromechanical coupling property of piezoelectric materials, has shown engineering feasibility in a variety of practical field applications. Relying on high frequency structural excitations (typically >30 kHz), this technique is very sensitive to minor structural changes in the near field of the piezoelectric sensors. In order to quantitatively assess the state of structures, multiple sets of artificial neural networks, which utilize measured electrical impedance signals for input patterns, were developed. By employing high frequency ranges and by incorporating neural network features, this technique is able to detect the damage in its early stage and to estimate the nature of damage without prior knowledge of the model of structures. The paper concludes with experimental examples, investigations on a massive quarter scale model of a steel bridge section and a space truss structure, in order to verify the performance of this proposed methodology.

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Pós-graduação em Educação para a Ciência - FC

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Because the biomechanical behavior of dental implants is different from that of natural tooth, clinical problems may occur. The mechanism of stress distribution and load transfer to the implant/bone interface is a critical issue affecting the success rate of implants. Therefore, the aim of this study was to conduct a brief literature review of the available stress analysis methods to study implant-supported prosthesis loading and to discuss their contributions in the biomechanical evaluation of oral rehabilitation with implants. Several studies have used experimental, analytical, and computational models by means of finite element models (FEM), photoelasticity, strain gauges and associations of these methods to evaluate the biomechanical behavior of dental implants. The FEM has been used to evaluate new components, configurations, materials, and shapes of implants. The greatest advantage of the photoelastic method is the ability to visualize the stresses in complex structures, such as oral structures, and to observe the stress patterns in the whole model, allowing the researcher to localize and quantify the stress magnitude. Strain gauges can be used to assess in vivo and in vitro stress in prostheses, implants, and teeth. Some authors use the strain gauge technique with photoelasticity or FEM techniques. These methodologies can be widely applied in dentistry, mainly in the research field. Therefore, they can guide further research and clinical studies by predicting some disadvantages and streamlining clinical time.

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The research presents as its central theme the study of the bibliographic record conversion process. The object of study is framed by an understanding of analogic bibliographic record conversion to the Bibliograhpic MARC21 format, based on a syntactic and semantic analysis of records described according to descriptive metadata structure standards and content standards. The objective of this research the objective is to develop a theoretical-conceptual model of syntactic and semantic of bibliographic records, from Linguistic studies of Saussure and Hjelmslev of manifestations of human language, which subsidizes the development of a computacional interpreter, focused to the conversion of bibliographic records to MARC21 Bibliographic Format, which can be confirmed both the semantic value of the informational resource represented as the reliability of the representation. Given the aforementioned objectives, the methodological trajectory of the research is based on the qualitative approach, of an exploratory, descriptive and experimental nature, and with recourse to the literature. Contributions on the theoretical plane can be envisaged regarding the development of questions inherent to the syntactic and semantic aspects of bibliographic records, and by involving, at the same time, interdisciplinarity between Information Science, Computer Science and Linguistics. Contributions to the practical field are identified by the fact the study covers the development of the Scan for MARC, a computational interpreter that can be adopted by any institution that wishes to use the conversion procedure for bibliographic record databases to the MARC21 Bibliographic Format from description and visualization schemes of bibliographic records (AACR2r and ISBD), an aspect of the research which is considered innovative.

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Modern society is characterized by the advance of technologies, the emergence and constant development of the technological field is responsible for a series of population adjustments, that being practically molded and daily transformed by media, which usually has the power of manipulating opinions and public approaches in every capacity and extensions of our lives, being a significantly and important tool, which most part of individuals in contemporary society can't work and live without, therefore most part of individuals depend on the use of many technological means, including social means, which have great relationship with the development and emergence of many psychological problems that completely impact on the social life of affected individuals, thus Physical Education is an area with the goal of verifying the level of influence that media reflects on the lifestyle choice to be followed and the relation of this influence with the presence and development of a series of psychological disorders that affect directly the health of those individuals. It has been gathered data about the subject according to scientific basis, more specifically, on Academic Google, Scielo and Pubmed, where it has been researched scientific articles that could contribute with the data and information to complete the text. The psychology of sports is an area of studies and knowledge that investigates and develops insight about these questions, making available scientifically tested and proven materials that supports the P.E. professional, that is connected in the practical field to visualize possible chained symptoms of these psychopathologies according to the development of these psychic disorders, that are usually common in current days, more precisely, disorders such as Anorexia, Vigorexia, self-dependence to physical exercise and selfcorporal dissapproval. It's vital to have total attention with the possibility of evolution of this psychopatology...

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As the number of simulation experiments increases, the necessity for validation and verification of these models demands special attention on the part of the simulation practitioners. By analyzing the current scientific literature, it is observed that the operational validation description presented in many papers does not agree on the importance designated to this process and about its applied techniques, subjective or objective. With the expectation of orienting professionals, researchers and students in simulation, this article aims to elaborate a practical guide through the compilation of statistical techniques in the operational validation of discrete simulation models. Finally, the guide's applicability was evaluated by using two study objects, which represent two manufacturing cells, one from the automobile industry and the other from a Brazilian tech company. For each application, the guide identified distinct steps, due to the different aspects that characterize the analyzed distributions. © 2011 Brazilian Operations Research Society.

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Pós-graduação em Educação Matemática - IGCE

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The development of robots has shown itself as a very complex interdisciplinary research field. The predominant procedure for these developments in the last decades is based on the assumption that each robot is a fully personalized project, with the direct embedding of hardware and software technologies in robot parts with no level of abstraction. Although this methodology has brought countless benefits to the robotics research, on the other hand, it has imposed major drawbacks: (i) the difficulty to reuse hardware and software parts in new robots or new versions; (ii) the difficulty to compare performance of different robots parts; and (iii) the difficulty to adapt development needs-in hardware and software levels-to local groups expertise. Large advances might be reached, for example, if physical parts of a robot could be reused in a different robot constructed with other technologies by other researcher or group. This paper proposes a framework for robots, TORP (The Open Robot Project), that aims to put forward a standardization in all dimensions (electrical, mechanical and computational) of a robot shared development model. This architecture is based on the dissociation between the robot and its parts, and between the robot parts and their technologies. In this paper, the first specification for a TORP family and the first humanoid robot constructed following the TORP specification set are presented, as well as the advances proposed for their improvement.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)